activity
20202025
most citedStronger, Faster and More Explainable: A Graph Convolutional Baseline for Skeleton-based Action Recognition

363 citations · 695 across the 14 of their papers we have counts for

collaborators

14 papers

cs.CV2025

InstaFace: Identity-Preserving Facial Editing with Single Image Inference

MD Wahiduzzaman Khan, Mingshan Jia, Xiaolin Zhang +3

Facial appearance editing is crucial for digital avatars, AR/VR, and personalized content creation, driving realistic user experiences. However, preserving identity with generative…

eess.IV2024★ 18 cited

DSCA: A Digital Subtraction Angiography Sequence Dataset and Spatio-Temporal Model for Cerebral Artery Segmentation

Jiong Zhang, Qihang Xie, Lei Mou +6

Cerebrovascular diseases (CVDs) remain a leading cause of global disability and mortality. Digital Subtraction Angiography (DSA) sequences, recognized as the gold standard for diag…

cs.CV2022★ 1 cited

Exploring Generalizable Distillation for Efficient Medical Image Segmentation

Xingqun Qi, Zhuojie Wu, Min Ren +3

Efficient medical image segmentation aims to provide accurate pixel-wise predictions for medical images with a lightweight implementation framework. However, lightweight frameworks…

cs.CV2022

Graph Flow: Cross-layer Graph Flow Distillation for Dual Efficient Medical Image Segmentation

Wenxuan Zou, Muyi Sun

With the development of deep convolutional neural networks, medical image segmentation has achieved a series of breakthroughs in recent years. However, the high-performance convolu…

cs.CV2022

Biphasic Face Photo-Sketch Synthesis via Semantic-Driven Generative Adversarial Network with Graph Representation Learning

Xingqun Qi, Muyi Sun, Zijian Wang +5

Biphasic face photo-sketch synthesis has significant practical value in wide-ranging fields such as digital entertainment and law enforcement. Previous approaches directly generate…

eess.IV2021

CoCo DistillNet: a Cross-layer Correlation Distillation Network for Pathological Gastric Cancer Segmentation

Wenxuan Zou, Muyi Sun

In recent years, deep convolutional neural networks have made significant advances in pathology image segmentation. However, pathology image segmentation encounters with a dilemma…